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Behavioral Economics Phd Jobs (NOW HIRING)

$140 - $190/hr

PharmD, MD, PhD, or Master's degree in a relevant discipline. * Minimum of 5+ years of relevant ... Experience generating evidence in OUD, addiction medicine, behavioral health, CNS, criminal justice ...

New

Senior Economist

Seattle, WA · On-site

$130 - $160/hr

... behavior signals, and designing quasi‑experimental methods to evaluate product changes that ... PhD in Economics, Applied Economics, Econometrics, Statistics, or a related quantitative field ...

Economist

San Francisco, CA · On-site

$266K - $385K/yr

... markets, firm behavior, market dynamics, and macroeconomic change. This is an individual ... A PhD in Economics or a related quantitative field. * 3-5 years of relevant work experience ...

PhD or Masters in Probability, Statistics, or Behavioral Economics Benefits: * Comprehensive Healthcare Benefits and Income Replacement Programs * 401k with Employer Match * Global Benefit programs ...

$71K - $113K/yr

Education Minimum Requirement:--Candidates should currently hold a PhD OR will receive a PhD by the ... Behavioral Sciences, Behavioral Sciences, Biomedical Research, Business Networking, Clinical ...

Sr. Economist, Pricing Science

Seattle, WA · On-site

$104K - $132K/yr

BASIC QUALIFICATIONS - PhD in economics or equivalent PREFERRED QUALIFICATIONS - Experience in ... behavior modeling, LTV estimation, or long-run treatment effect estimation Amazon is an equal ...

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Behavioral Economics Phd information

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$33K

$107.6K

$149.5K

How much do behavioral economics phd jobs pay per year?

As of Aug 7, 2026, the average yearly pay for behavioral economics phd in the United States is $107,594.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What is the difference between Behavioral Economics Phd vs Behavioral Data Analyst?

AspectBehavioral Economics PhdBehavioral Data Analyst
Required CredentialsDoctorate in Economics or related fieldBachelor's or Master's in Data Science, Economics, or related field
Work EnvironmentAcademic, research institutions, think tanks, or consulting firmsCorporate, marketing, or tech companies analyzing data sets
Employer & Industry UsageResearch-focused roles in academia, government, or consultingData-driven decision making in business sectors
Common Search & Comparison IntentUnderstanding advanced research roles and qualificationsAnalyzing data and applying behavioral insights in practical settings

The main difference between a Behavioral Economics Phd and a Behavioral Data Analyst lies in their qualifications and work focus. The Phd typically involves advanced research and academic roles, while the Data Analyst applies behavioral insights through data analysis in business environments. Both roles require analytical skills but differ in educational background and job responsibilities.

What is a behavioral economics PhD?

A Behavioral Economics PhD is a doctoral degree focused on the study of how psychological, emotional, and social factors influence economic decision-making. This program combines traditional economic theory with insights from psychology to better understand real-world human behavior in markets and other economic settings. Graduates are trained to conduct research, analyze data, and develop models that explain why individuals sometimes make irrational financial choices. The degree prepares individuals for careers in academia, public policy, consulting, and private industry.

What types of projects or research collaborations can a behavioral economics PhD expect to participate in within an academic or industry setting?

As a Behavioral Economics PhD, you'll often work on interdisciplinary projects that combine insights from psychology, economics, and data science. In academia, this might involve designing and conducting experiments to understand decision-making behaviors or collaborating with other departments on grant-funded research. In industry, you could contribute to product design, policy evaluation, or consumer behavior analysis, often working closely with teams in marketing, data analytics, or public policy. These collaborations offer valuable opportunities to apply behavioral theories to real-world challenges and to develop both research and practical skills.

What are the key skills and qualifications needed to thrive as a behavioral economics PhD?

To thrive as a Behavioral Economics PhD, you need a deep understanding of economic theory, psychological principles, and advanced quantitative research methods, typically supported by a doctoral degree in behavioral economics or a related field. Proficiency in statistical software (such as R, Stata, or Python), experimental design platforms, and data analysis tools is essential. Exceptional critical thinking, communication, and interdisciplinary collaboration skills help distinguish top professionals in this area. These competencies are crucial for designing rigorous research, analyzing complex data, and translating insights into actionable strategies for policy or business contexts.
More about Behavioral Economics Phd jobs
What cities are hiring for Behavioral Economics Phd jobs? Cities with the most Behavioral Economics Phd job openings:
What states have the most Behavioral Economics Phd jobs? States with the most job openings for Behavioral Economics Phd jobs include:
Infographic showing various Behavioral Economics Phd job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 72% Full Time, 19% Part Time, 1% Temporary, and 6% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $107,594 per year, or $51.7 per hour.

Associate Director, Health Economics - Outcomes Research

Jobtailor

On-site

$140 - $190/hr

Other

Posted 2 days ago

New


Job description

Responsibilities
  • Develop and execute the HEOR strategy for Braeburn’s product(s), ensuring alignment with medical, brand, and market access objectives.
  • In partnership with external and internal stakeholders, design, lead, and manage HEOR studies and projects, which may include retrospective database and claims analyses, real‑world evidence (RWE) studies, patient‑reported outcomes (PRO) research, burden‑of‑and cost‑of‑illness studies across various settings including institutional settings.
  • Lead the development and updates of economic models—building, commissioning, or overseeing cost‑effectiveness, budget impact models, and cost‑offset analyses—and translate HEOR findings into payer, public sector, and policymaker value propositions, AMCP dossiers, value communication tools, and objection‑handling resources.
  • Manage external vendors, consultants, and academic collaborators, overseeing scope, budget, timelines, and quality of deliverables.
  • In close partnership with Scientific Communications, disseminate evidence through peer‑reviewed publications, scientific congress abstracts and posters, and internal and external presentations.
  • Serve as the HEOR subject‑matter expert for cross‑functional teams and, as requested, in external interactions with payers, institutional and public health agencies, policymakers, and key opinion leaders.
  • Gather and synthesize insights and monitor the external OUD, addiction medicine, behavioral health, and criminal justice landscape to anticipate evidence needs.
  • Ensure all HEOR activities comply with applicable scientific standards and legal, regulatory, and compliance requirements.
  • Identify and pilot opportunities to apply AI/ML to improve the speed, scale, and rigor of evidence generation and synthesis.
Requirements
  • Advanced degree required: PharmD, MD, PhD, or Master’s degree in a relevant discipline.
  • Minimum of 5+ years of relevant HEOR experience including post‑doctoral work or fellowship within the pharmaceutical/biotech industry, academic, research, or payer setting.
  • Demonstrated track record of designing and delivering HEOR studies from concept through publication, including peer‑reviewed publications and scientific congress presentations.
  • Experience generating evidence in OUD, addiction medicine, behavioral health, CNS, criminal justice, correctional health, or specialty pharmaceutical markets is strongly preferred.
  • Proficient with real‑world data sources and related software.
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